Francesco Orabona

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Barbara CaputoDAUIN, Politecnico di TorinoVerified email at polito.it
Tatiana TommasiPolitecnico di TorinoVerified email at polito.it
Giulio SandiniIstituto Italiano di Tecnologia - Robotics, Brain and Cognitive SciencesVerified email at iit.it
Luo JieEmbedding VCVerified email at embedding.vc
Giorgio MettaScientific Director, Istituto Italiano di TecnologiaVerified email at iit.it
Ilja KuzborskijGoogle DeepMindVerified email at google.com
Ashok CutkoskyBoston UniversityVerified email at cutkosky.com
Nicolò Cesa-BianchiProfessor of Computer Science, Università degli Studi di Milano and Politecnico di MilanoVerified email at unimi.it
Dávid PálStaff Machine Learning Engineer, InstacartVerified email at instacart.com
Claudio CastelliniProfessor of Medical Robotics at FAU Erlangen and senior researcher at the German Aerospace CenterVerified email at fau.de
Kwang-Sung JunThe University of ArizonaVerified email at cs.arizona.edu
Claudio GentileGoogle Research, New York, USAVerified email at google.com
zhenxun zhuangMetaVerified email at fb.com
Mingrui LiuGeorge Mason UniversityVerified email at gmu.edu
Joseph KeshetProfessor, Faculty of Electrical & Computer Engineering, TechnionVerified email at technion.ac.il
Koby CrammerProfessor of Electrical Engineering, Technion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di TecnologiaVerified email at iit.it
Marco FornoniGoogleVerified email at google.com
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu

Francesco Orabona

Associate Professor, KAUST

Verified email at orabona.com - Homepage

Online Learning Machine Learning Optimization Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Momentum-based variance reduction in non-convex SGD A Cutkosky, F Orabona Advances in neural information processing systems 32, 2019	390	2019
A modern introduction to online learning F Orabona arXiv preprint arXiv:1912.13213, 2019	364	2019
On the convergence of stochastic gradient descent with adaptive stepsizes X Li, F Orabona The 22nd international conference on artificial intelligence and statistics …, 2019	328	2019
Safety in numbers: Learning categories from few examples with multi model knowledge transfer T Tommasi, F Orabona, B Caputo 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	285	2010
Stability and hypothesis transfer learning I Kuzborskij, F Orabona International Conference on Machine Learning (ICML), 942-950, 2013	204	2013
Learning from candidate labeling sets J Luo, F Orabona NIPS Foundation-Advances in Neural Information Processing Systems 23 (NIPS10), 2010	200	2010
Learning categories from few examples with multi model knowledge transfer T Tommasi, F Orabona, B Caputo IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (5), 928-941, 2014	187	2014
Object-based visual attention: a model for a behaving robot F Orabona, G Metta, G Sandini 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	169	2005
Coin betting and parameter-free online learning F Orabona, D Pál Advances in Neural Information Processing Systems 29, 2016	168	2016
From n to n+1: Multiclass transfer incremental learning I Kuzborskij, F Orabona, B Caputo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	168	2013
The Projectron: a bounded kernel-based Perceptron F Orabona, J Keshet, B Caputo International Conference on Machine Learning (ICML), 720-727, 2008	147	2008
Black-box reductions for parameter-free online learning in Banach spaces A Cutkosky, F Orabona Conference On Learning Theory, 1493-1529, 2018	137	2018
Model adaptation with least-squares SVM for adaptive hand prosthetics F Orabona, C Castellini, B Caputo, AE Fiorilla, G Sandini Robotics and Automation, 2009. ICRA'09. IEEE International Conference on …, 2009	132	2009
Bounded Kernel-Based Online Learning F Orabona, J Keshet, B Caputo Journal of Machine Learning Research 10 (11), 2009	127	2009
Discriminative cue integration for medical image annotation T Tommasi, F Orabona, B Caputo Pattern Recognition Letters 29 (15), 1996-2002, 2008	120	2008
Training deep networks without learning rates through coin betting F Orabona, T Tommasi Advances in Neural Information Processing Systems 30, 2017	114	2017
Improving control of dexterous hand prostheses using adaptive learning T Tommasi, F Orabona, C Castellini, B Caputo IEEE Transactions on Robotics 29 (1), 207-219, 2013	113	2013
Scale-free online learning F Orabona, D Pál Theoretical Computer Science 716, 50-69, 2018	111	2018
Simultaneous model selection and optimization through parameter-free stochastic learning F Orabona Advances in Neural Information Processing Systems 27, 2014	106	2014
A generalized online mirror descent with applications to classification and regression F Orabona, K Crammer, N Cesa-Bianchi Machine Learning 99, 411-435, 2015	100	2015

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